The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 25, 2023

Filed:

May. 21, 2019
Applicant:

Imagination Technologies Limited, Kings Langley, GB;

Inventors:

Paul Brasnett, West Molesey, GB;

Daniel Valdez Balderas, Staines-upon-Thames, GB;

Cagatay Dikici, London, GB;

Szabolcs Cséfalvay, Hemel Hempstead, GB;

David Hough, Watford, GB;

Timothy Smith, London, GB;

James Imber, Hemel Hempstead, GB;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/00 (2006.01); G06N 3/02 (2006.01); G06F 17/15 (2006.01); G06F 17/16 (2006.01); G06N 3/063 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06N 3/02 (2013.01); G06F 17/15 (2013.01); G06F 17/16 (2013.01); G06N 3/063 (2013.01); G06N 3/08 (2013.01);
Abstract

Methods and systems for implementing a traditional computer vision algorithm as a neural network. The method includes: receiving a definition of the traditional computer vision algorithm that identifies a sequence of one or more traditional computer vision algorithm operations; mapping each of the one or more traditional computer vision algorithm operations to a set of one or more neural network primitives that is mathematically equivalent to that traditional computer vision algorithm operation; linking the one or more network primitives mapped to each traditional computer vision algorithm operation according to the sequence to form a neural network representing the traditional computer vision algorithm; and configuring hardware logic capable of implementing a neural network to implement the neural network that represents the traditional computer vision algorithm.


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